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Identification and removal of imprecision in polynomial regression, originating from random errors (noise) in the … independent variable data is discussed. The truncation error-to-noise ratio (TNR) is used to discriminate between imprecision … dominated by collinearity, or numerical error propagation, or inflated variance due to noise in the independent variable. It is …
Persistent link: https://www.econbiz.de/10010869874
McCulloch and Pitts originally thought that cortical neurons computed using single spikes, with temporal resolution well under a millisecond. But the most popular current simplification of those neurons is as devices which perform computations based on real-valued firing rates, averaged over...
Persistent link: https://www.econbiz.de/10010870134
We study the collective dynamics of one- and two-dimensional lattices of coupled stochastic, non-homogeneous oscillators in terms of synchronization. This phenomenon manifests itself as an entrainment of the mean switching frequencies in the form of frequency-locking and frozen synchronized...
Persistent link: https://www.econbiz.de/10010870224
constant. Normally, theoretical studies of these patterns are developed without concerning a noise. In this paper we consider … FDS for a more realistic conditions and assume that the inlet concentrations are perturbed by a small noise. When the flow … rate is small, the FDS is linearly sensitive to noise at the inlet. Even weak fluctuations destroy the stationary pattern …
Persistent link: https://www.econbiz.de/10010748500